Business intelligence, Microsoft Copilot adoption and data governance — practical AI, not hype, built on a foundation of clean, trusted data.
Turn your business data into a genuine advantage — from BI dashboards to responsible AI and Copilot adoption, grounded in data you can actually trust.
Most businesses have plenty of data and very little insight. We build the reporting layer, clean up the data quality issues underneath it, and introduce AI tools like Copilot in a way that’s secure and genuinely useful — not just a checkbox.
A business running its reporting out of a dozen disconnected spreadsheets, updated manually every month, isn’t short of data — it’s short of a reliable way to see it. We consolidate those sources into a single reporting layer, so the numbers your leadership team looks at on Monday morning are the same numbers finance is working from, not a slightly different version someone exported on Friday.
Microsoft Copilot rollouts often fail for a predictable reason: permissions that were never tidied up. Copilot surfaces whatever a user already has access to, so if file and folder permissions are loose, adoption doesn’t just risk poor answers — it risks exposing information that should have been restricted in the first place. We audit and correct access before a single Copilot licence is switched on.
Named platforms, not vague promises — here’s what actually sits under a 909 IT-managed AI rollout.
AI embedded directly in Word, Excel, Teams and Outlook — drafting, summarising and surfacing answers from your own content, rolled out only once we’ve confirmed it can’t see anything it shouldn’t.
Custom AI agents built around your specific workflows — a bot that actually knows your product catalogue or your ticketing process, not a generic assistant bolted on afterwards.
Azure AI Foundry and Cognitive Services for the work that goes beyond Copilot — document processing, custom models and applications built around a specific business problem.
Low-code workflow automation that connects the apps you already use — removing the manual copy-paste work between systems without a custom development project.
A dashboard or a copilot is only as trustworthy as what’s underneath it. Before any of these platforms touch your business, we make sure the data feeding them is accurate, properly governed, and actually answers the questions your team is asking.
Get that groundwork right and the tools above stop being a novelty and start paying for themselves — a report leadership trusts at a glance, an agent that saves a genuine hour a day, a workflow nobody has to remember to run manually.
None of this scales with headcount. We’ve seen the exact same permission sprawl and disconnected spreadsheets in a twelve-person team as in a two-hundred-person one — the only real variable is how long it’s been left unaddressed.
A clear, proven process — no surprises, no scope creep.
We review your current data sources, quality and governance gaps.
Dashboards and reports built around the decisions you actually make.
Low-code workflows that remove manual, repetitive work.
A staged, secure rollout of Copilot and AI tools across your team.
We’ve seen too many BI projects stall because nobody trusted the numbers. Before we build a single dashboard, we map your data sources, fix the quality issues underneath, and agree on a single source of truth.
Only once that foundation is solid do we introduce automation and Copilot — so the AI your team uses is working from data that’s actually accurate.
We’re also candid about where AI isn’t the answer yet. Not every process needs automating and not every question needs a dashboard — part of our job is telling you when a simpler fix will do, rather than selling a bigger project than the problem requires.
From migration to ongoing optimisation, we design cloud infrastructure that scales with your business instead of against your budget.
Learn moreCRM, ERP and workflow automation in one platform — Dynamics 365, implemented by people who understand how your business actually runs.
Learn moreThat’s actually where we start with most clients. Data cleanup and governance come before any dashboard or automation work, so messy data isn’t a blocker — it’s simply the first phase of the project.
We don’t recommend it. We roll Copilot out in stages, starting with a pilot group, checking data access permissions are correctly scoped, and training users properly before a wider rollout.
No — we build the dashboards and reporting around the questions your business already asks, so your team can use the insights without needing technical data skills.
A first set of working dashboards is usually delivered within 4–6 weeks of the data audit being complete, with governance and automation work often continuing in parallel as later phases.
Not if permissions are set up correctly first, which is exactly why we audit and correct access controls before rollout. Copilot only surfaces what a user is already permitted to see, so tidying up permissions beforehand is essential, not optional.
Book a free IT assessment and we’ll show you exactly how this fits into your broader IT strategy.